Dataset Information

The effect of adapting Hospital at Home to facilitate implementation and sustainment on program drift or voltage drop.

ABSTRACT:

Background

Translating evidence-based interventions from study conditions to actual practice necessarily requires adaptation. We implemented an evidence-based Hospital at Home (HaH) intervention and evaluated whether adaptations could avoid diminished benefit from "voltage drop" (decreased benefit when interventions are applied under more heterogeneous conditions than existing in studies) or "program drift." (decreased benefit arising from deviations from study protocols).

Methods

Patients were enrolled in HaH over a 6-month pilot period followed by nine quarters of implementation activity. The program retained core components of the original evidence-based HaH model, but adaptations were made at inception and throughout the implementation. These adaptations were coded as to who made them, what was modified, for whom the adaptations were made, and the nature of the adaptations. We collected information on length of stay (LOS), 30-day readmissions and emergency department (ED) visits, escalations to the hospital, and patient ratings of care. Outcomes were assessed by quarter of admission. Selected outcomes were tracked and fed back to the program leadership. We used logistic or linear regression with an independent variable included for the numerical quarter of enrollment after the initial 6-month pilot phase. Models controlled for season and for patient characteristics.

Results

Adaptations were made throughout the implementation period. The nature of adaptations was most commonly to add or to substitute new program elements. HaH services substituting for a hospital stay were received by 295 patients (a mean of 33, range 11-44, per quarter). A small effect of quarter from program inception was seen for escalations (OR 1.09, 95% CI 1.01 to 1.18, p?=?0.03), but no effect was observed for LOS (-?0.007?days/quarter; SE 0.02, p?=?0.75), 30?day ED visit (OR 0.93, 95% CI 0.86 to 1.01, p?=?0.09), 30-day readmission (OR 1.00, 95% CI 0.93 to 1.08, p?=?0.99), or patient rating of overall hospital care (OR for highest overall rating 0.99, 95% CI 0.93 to 1.05, p?=?0.66).

Conclusions

We made adaptations to HaH at inception and over the course of implementation. Our findings indicate that adaptations to evidence-based programs may avoid diminished benefits due to potential 'program drift' or 'voltage drop.'

Trial registration

Not applicable. This study is not a clinical trial by the International Committee of Medical Journal Editors (ICMJE) definition because it is an observational study "in which the assignment of the medical intervention is not at the discretion of the investigator."

SUBMITTER: Siu AL

PROVIDER: S-EPMC6489357 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Publications

The effect of adapting Hospital at Home to facilitate implementation and sustainment on program drift or voltage drop.

Siu Albert L AL Zimbroff Robert M RM Federman Alex D AD DeCherrie Linda V LV Garrido Melissa M Morano Barbara B Lubetsky Sara S Catalan Elisse E Leff Bruce B

BMC health services research 20190429 1

<h4>Background</h4>Translating evidence-based interventions from study conditions to actual practice necessarily requires adaptation. We implemented an evidence-based Hospital at Home (HaH) intervention and evaluated whether adaptations could avoid diminished benefit from "voltage drop" (decreased benefit when interventions are applied under more heterogeneous conditions than existing in studies) or "program drift." (decreased benefit arising from deviations from study protocols).<h4>Methods</h4 ...[more]

PMID: 31035973

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Dataset Information

The effect of adapting Hospital at Home to facilitate implementation and sustainment on program drift or voltage drop.

Background

Methods

Results

Conclusions

Trial registration

Publications

The effect of adapting Hospital at Home to facilitate implementation and sustainment on program drift or voltage drop.

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